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  2. NoSQL - Wikipedia

    en.wikipedia.org/wiki/NoSQL

    What follows is a non-exhaustive classification by data model, with examples: [23] ... For example, MongoDB supports compound indexes and query optimization ...

  3. BSON - Wikipedia

    en.wikipedia.org/wiki/BSON

    BSON (/ ˈ b iː s ə n / [2]) is a computer data interchange format. The name "BSON" is based on the term JSON and stands for "Binary JSON". [2] It is a binary form for representing simple or complex data structures including associative arrays (also known as name-value pairs), integer indexed arrays, and a suite of fundamental scalar types.

  4. Bitemporal modeling - Wikipedia

    en.wikipedia.org/wiki/Bitemporal_Modeling

    Bitemporal modeling is a specific case of temporal database information modeling technique designed to handle historical data along two different timelines. [1] This makes it possible to rewind the information to "as it actually was" in combination with "as it was recorded" at some point in time.

  5. Document-oriented database - Wikipedia

    en.wikipedia.org/wiki/Document-oriented_database

    fully managed MongoDB v3.6-compatible database service Yes DynamoDB: Amazon Web Services: Proprietary Java, JavaScript, Node.js, Go, C#.NET, Perl, PHP, Python, Ruby, Rust, Haskell, Erlang, Django, and Grails: fully managed proprietary NoSQL database service that supports key–value and document data structures Yes Elasticsearch: Shay Banon

  6. MongoDB - Wikipedia

    en.wikipedia.org/wiki/MongoDB

    MongoDB is also available as an on-demand, fully managed service. MongoDB Atlas runs on AWS, Microsoft Azure and Google Cloud Platform. [45] On March 10, 2022, MongoDB warned its users in Russia and Belarus that their data stored on the MongoDB Atlas platform will be destroyed as a result of American sanctions related to the Russo-Ukrainian War ...

  7. Data modeling - Wikipedia

    en.wikipedia.org/wiki/Data_modeling

    Data modeling techniques and methodologies are used to model data in a standard, consistent, predictable manner in order to manage it as a resource. The use of data modeling standards is strongly recommended for all projects requiring a standard means of defining and analyzing data within an organization, e.g., using data modeling:

  8. Data model - Wikipedia

    en.wikipedia.org/wiki/Data_model

    Overview of a data-modeling context: Data model is based on Data, Data relationship, Data semantic and Data constraint. A data model provides the details of information to be stored, and is of primary use when the final product is the generation of computer software code for an application or the preparation of a functional specification to aid a computer software make-or-buy decision.

  9. Unnormalized form - Wikipedia

    en.wikipedia.org/wiki/Unnormalized_form

    In 1970, E. F. Codd proposed the relational data model, now [when?] widely accepted as the standard data model. [2] At that time, office automation was the major use of data storage systems, which resulted in the proposal of many UNF/NF 2 data models like the Schek model, Jaeschke models (non-recursive and recursive algebra), and the nested table data model (NTD). [1]